← ClaudeAtlas

swarmlisted

Autonomous multi-agent workflow system for complex coding tasks. Use when the user requests non-trivial changes that would benefit from autonomous execution with built-in review gates. Ideal for refactoring modules, adding major features, migrating codebases, adding comprehensive test coverage, or any multi-step development task that can run autonomously. NOT for simple fixes, typos, or single-file changes.
aiskillstore/marketplace · ★ 329 · AI & Automation · score 79
Install: claude install-skill aiskillstore/marketplace
# Swarm: Autonomous Multi-Agent Workflows Execute complex coding tasks autonomously using multiple agents working from a coordinated plan. ## How It Works 1. **Interview** — Gather requirements and context from user 2. **Plan** — Create structured markdown plan with checkboxes and review gates 3. **Execute** — Spawn autonomous agents to work on the plan 4. **Complete** — Agents signal completion with `.done` files ## Workflow ### Step 1: Interview the User When this skill is invoked, gather the information needed to create an effective plan: **Required information:** - **Goal**: What does "done" look like? (Be specific and measurable) - **Context**: What files/directories are involved? Key constraints? - **Test strategy**: What commands verify success? (e.g., `npm test`, `pytest`) - **Plan location**: Where should the plan file be created? **Interview questions:** ``` I'll help you set up an autonomous workflow for this task. To create an effective plan, I need to understand: 1. What's the specific goal? What does "done" look like? 2. What files or directories are involved? 3. What tests or verification commands should agents run? 4. Where should I create the plan file? (e.g., PLAN.md, AUTH_REFACTOR.md) ``` Ask follow-up questions as needed to clarify scope, constraints, or success criteria. ### Step 2: Create the Plan Use the template at `assets/PLAN_TEMPLATE.md` as a starting point. Customize it based on the user's requirements. **Plan structure:** - `## Goal